Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease

@article{Dyrba2020GaussianGM,
  title={Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease},
  author={Martin Dyrba and Reza Mohammadi and Michel J. Grothe and Thomas Kirste and Stefan J. Teipel},
  journal={Frontiers in Aging Neuroscience},
  year={2020},
  volume={12}
}
Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed in vivo using various brain imaging modalities such as magnetic resonance imaging (MRI) and positron emission tomography (PET). Currently, the most approaches to analyze statistical associations between regions and imaging modalities rely on Pearson correlation or linear regression models. However, these models are prone to spurious correlations arising from uninformative shared variance… 
Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS Databases
TLDR
Results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM), and the authors' prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.
Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
TLDR
The validation of NeuroPM-box is demonstrated — an open-access, multi-tool cross-platform software that can characterize multiscale and multifactorial neuropathological mechanisms that potentially contributes to a better understanding of complex brain processes, which could accelerate the implementation of Precision Medicine in Neurology.
NeuroPM toolbox: integrating Molecular, Neuroimaging and Clinical data for Characterizing Neuropathological Progression and Individual Therapeutic Needs
TLDR
NeuroPM-box is a cross-platform, user-friendly and open-access software for characterizing multiscale and multifactorial brain pathological mechanisms and identifying individual therapeutic needs that may significantly contribute to a better understanding of complex brain processes and to accelerating the implementation of Precision Medicine (PM) in neurology.
Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study
TLDR
A systematic statistical framework for causal functional connectomics is developed that defines the foundations of common aspects of causality and how based on these notions, a comparative study of several existing approaches for finding causal functional connectivity from neural activity can be conducted.
Plasma p-tau181 shows stronger network association to Alzheimer's disease dementia than neurofilament light and total tau.
TLDR
Results support plasma p-tau181 for the detection of AD dementia and the use of blood-based biomarkers for optimal disease detection.
Association of Lipidomics Signatures in Blood with Clinical Progression in Preclinical and Prodromal Alzheimer’s Disease
Background: Lipidomics may provide insight into biochemical processes driving Alzheimer’s disease (AD) pathogenesis and ensuing clinical trajectories. Objective: To identify a peripheral lipidomics
Perspectives for New and More Efficient Multifunctional Ligands for Alzheimer′s Disease Therapy
TLDR
A multitarget strategy for AD is presented, based on reported milestones in this area and the recent progress that has been achieved with multitargeted-directed ligands (MTDLs).
Axillary microbiota is associated with cognitive impairment in Parkinson's disease patients
TLDR
Results suggest that alterations in axillary microbiota are associated with CI in PD, and holds potential to be exploited as a non-invasive biomarker in the development of novel strategies.
A New Perspective on Individual Reliability beyond Group Effects for Event-related Potentials: A Multisensory Investigation and Computational Modeling
TLDR
A rigorous evaluation of the test-retest reliability of ERPs collected in a multisensory and cognitive experiment from 82 healthy adolescents found that a stronger group-level response in ERPs did not guarantee a higher reliability and the conventional peak-based approach may underestimate the individual reliability.
Dysregulated coordination of MAPT exon 2 and exon 10 splicing underlies different tau pathologies in PSP and AD
TLDR
It is concluded that N-terminal splicing and combinatorial regulation with exon 10 inclusion/exclusion is likely to be important to the understanding of tauopathies.

References

SHOWING 1-10 OF 90 REFERENCES
Comparison of Different Hypotheses Regarding the Spread of Alzheimer's Disease Using Markov Random Fields and Multimodal Imaging.
TLDR
The novel application of probabilistic graphical modeling approach to study the interregional associations and dependencies between multimodal imaging markers of AD pathology and to compare different hypotheses regarding the spread of the disease is proposed.
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease
Alzheimer's Disease (AD) is the most common neurodegenerative disease in elderly people, and current drugs, unfortunately, do not represent yet a cure but only slow down its progression. This is
Spatial patterns of atrophy, hypometabolism, and amyloid deposition in Alzheimer's disease correspond to dissociable functional brain networks
Recent neuroimaging studies of Alzheimer's disease (AD) have emphasized topographical similarities between AD‐related brain changes and a prominent cortical association network called the
The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment — Beyond classical regression
TLDR
Regularized regression approaches with an elastic net penalty for best subset selection of multiregional information from AV45-PET, FDG-PET and volumetric MRI data to predict conversion from MCI to AD outperformed unpenalized stepwise regression when number of parameters approached or exceeded the number of training cases.
Region-Specific Hierarchy between Atrophy, Hypometabolism, and β-Amyloid (Aβ) Load in Alzheimer's Disease Dementia
TLDR
Findings provide direct evidence for regional variations in the hierarchy and relationships between Aβ load, hypometabolism, and atrophy in human brain areas, which probably reflect the differential involvement of region-specific pathological or protective mechanisms.
Single-Subject Grey Matter Graphs in Alzheimer's Disease
TLDR
It is suggested that single-subject grey matter graphs provide a concise quantification of cortical structure that has clinical value, which might be of particular importance for disease prognosis.
Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer's disease.
TLDR
The present study reinforces the relevance of remote mechanisms above local interactions to account for the pattern of metabolic brain alteration observed in amnestic mild cognitive impairment, and provides new avenues to assess the sequence of events in complex diseases characterized by multiple manifestations.
A method for inferring regional origins of neurodegeneration
TLDR
This work demonstrates a newly developed graph theoretical method of inferring prior disease states in patients with Alzheimer's disease and mild cognitive impairment using an established network diffusion model and an L1-penalized optimization algorithm and observes that the high degree of heterogeneity between patients at baseline is also reflected in their seeds.
Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer’s disease
TLDR
This work presents the first analytic framework for dynamic multifactorial brain (dis)organization that may explain both the pathologic evolution of progressive neurological disorders and operationalize the influence of multiple interventional strategies.
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features
TLDR
The recently developed 4 D (spatial+temporal) thickness measuring algorithm finds that the 4 clinical groups demonstrate very similar spatial distribution of grey matter (GM) loss on cortex, and indicates the degenerated wiring efficiency of the brain network due to AD.
...
1
2
3
4
5
...